• SUGANYA K
• RAJESH SINGH, J
• SUBAHANISHA, A

Tuberculosis (TB) has been declared as a global health emergency by the World Health Organization (WHO). This has been mainly due to the emergence of multiple drug resistant strains and the synergy between tubercle bacilli and the Human Immunodeficiency Virus (HIV). The genomic analysis of strains for outbreak investigations is in vogue for about a decade now. However, information available from whole genome sequencing efforts and comparative genomics of laboratory and field strains is likely to revolutionize efforts towards understanding molecular pathogenesis and dissemination dynamics of this dreaded disease. Genomic information is also going to fuel discovery projects where new targets will be identified and explored towards a new drug for Tuberculosis Mycobacterium tuberculosis is a deadly infectious disease, there is rising death of humans every year because of this disease, availability of genome sequences of Mycobacterium tuberculosis has provided tremendous amount of information that can be useful in drug target and new vaccine development. Sequence similarity provides accurate annotation for genes in newly sequenced genomes. In this present work about 100 hypothetical proteins of Mycobacterium tuberculosis were taken and its functions were predicted using bioinformatics tools, BLOCKS, InterPro Scan and PFAM. From our analysis of 100 hypothetical proteins only ONE show 100% functions these proteins may serve as target for few antibiotics.

Tuberculosis, Mycobacterium tuberculosis, proteins, genome sequences

"FUNCTIONAL PROTEIN PREDICTION OF MYCOBACTERIUM TUBERCULOSIS USING BIOINFORMATICS TOOLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 9, page no.421-427, September-2017, Available :http://www.jetir.org/papers/JETIR1709066.pdf

"FUNCTIONAL PROTEIN PREDICTION OF MYCOBACTERIUM TUBERCULOSIS USING BIOINFORMATICS TOOLS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 9, page no. pp421-427, September-2017, Available at : http://www.jetir.org/papers/JETIR1709066.pdf